With the rapid development of artificial intelligence technology, intelligent educational robots are gradually becoming the new favorite in the field of education. As NVIDIA's artificial intelligence platform for edge computing, the Jetson Nano motherboard has shown a wide range of application prospects and practical value in intelligent educational robots with its powerful computing power and low power consumption. This article will explore in depth the practical application of the Jetson Nano motherboard in intelligent educational robots and specific application scenarios.
Practical application
1. Intelligent teaching assistant
In the intelligent education scenario, the Jetson Nano motherboard can be used as the core processor of the intelligent teaching assistant. By integrating speech recognition and synthesis technology, the intelligent teaching assistant can understand students' questions and give accurate answers. For example, in English learning courses, students can interact with robots through voice to practice word pronunciation, grammar explanation and dialogue simulation, thereby improving language learning effects. In addition, Jetson Nano can also support face recognition and emotion analysis technology, adjust teaching strategies according to students' learning status and emotional feedback, and realize personalized teaching.
2. Programming and robotics education
In the field of robotics education, the Jetson Nano motherboard provides students with an excellent platform for practicing programming and robotics technology. Students can use the Jetson Nano development kit, combined with programming languages and frameworks such as Python and ROS, to design and build their own intelligent robots. By participating in the robot project, students can gain a deep understanding of the basic principles of artificial intelligence and machine learning, master programming and hardware design skills, and cultivate innovative thinking and problem-solving skills.
3. Scientific experiments and exploration
The Jetson Nano motherboard also plays an important role in scientific experiments and exploration. For example, it can be combined with various sensors and actuators to build environmental monitoring robots, object recognition robots, etc. Students can use these robots to collect experimental data, analyze experimental results, and deepen their understanding of subject knowledge such as physics, chemistry, and biology. In addition, Jetson Nano also supports real-time video processing and image recognition technology, enabling robots to perform autonomous navigation and object tracking in complex environments, providing strong technical support for scientific experiments.
Application scenarios
1. Classroom interactive teaching
In classroom teaching, intelligent educational robots can serve as teachers' right-hand men, participate in classroom interactions and answer questions. Through speech recognition and synthesis technology, robots can communicate with students in natural language, answer students' questions, and provide personalized learning suggestions. In addition, the robot can also adjust the teaching strategy according to the students' learning progress and feedback to achieve teaching in accordance with their aptitude.
2. After-school self-study
In the after-school self-study session, the intelligent educational robot can provide students with personalized learning resources and tutoring services. Students can interact with the robot to conduct learning activities such as knowledge review, exercise practice and simulation test. The robot can give feedback and suggestions based on the students' learning situation to help students find out the gaps and consolidate the knowledge points.
3. Remote education and tutoring
In terms of remote education and tutoring, the Jetson Nano motherboard also provides strong support for intelligent educational robots. The robot can connect to the remote server or educational resource platform through the network to provide students with online courses, live teaching and remote tutoring services. This flexible learning method not only breaks the geographical restrictions, but also improves the utilization efficiency of educational resources and learning effects.
Jetson nano robot recommendation
There are many types of robots based on the Jetson Nano motherboard, each of which has unique functions and application scenarios. The following are some representative Jetson Nano mainboard robots and their functions:
1. Phage ROS SLAM Bionic Hexapod Robot
Function introduction:
LiDAR mapping and navigation: supports mapping by algorithms such as Gmapping, Karto, and Hector, and supports path planning, fixed-point navigation, and multi-point navigation. LiDAR can also detect the surrounding environment, dynamically avoid obstacles during navigation, and plan the path after detecting obstacles.
3D depth camera: equipped with Obi Zhongguang series depth camera, it can not only realize all AI visual functions of RGB camera, but also realize deep image data processing, RTAB three-dimensional visual mapping and other deep visual functions, AI functions such as face recognition, edge detection, Aruco augmented reality, gesture recognition, KCF target tracking, QR recognition, color recognition, etc.
Diversified expansion:
High-precision motion control: equipped with 19 serial bus servos with 35KG torque, combined with a new inverse kinematics algorithm, it can vividly simulate the walking, squatting, rotating, leaning and other movements of hexapod reptiles.
ROS framework support: Adopts the global mainstream robot communication ROS framework system.
2. ROS2 Ackerman smart car
Function introduction:
Dual-brain architecture collaboration: Adopts Jetson Nano combined with STM32 motherboard, Jetson Nano dominates ROS algorithm and visual processing, STM32 is responsible for motion control and sensor data processing. So that performance and efficiency are greatly improved,
Multiple chassis optional: Ackerman chassis, four-wheel chassis, Mecanum wheel chassis. Tracked chassis, you can choose the most suitable chassis according to specific learning goals and actual application scenarios, so as to improve the experience and application performance.
SLAM mapping and navigation: Support laser radar to build maps, use RTAB SLAM algorithm, integrate vision and radar data to build three-dimensional color maps, realize autonomous navigation and dynamic obstacle avoidance, support global relocation, autonomous positioning function.
Rich peripheral support: equipped with DCW depth camera, 7-inch LCD touch screen, large torque encoding reduction motor, laser radar, cool programmable lights and other configurations.
Strong versatility: Jetson Nano main control board can be disassembled and reused, which is convenient for users to customize and expand according to their needs.
3. XR-F2 autonomous driving car
Function introduction:
Lightweight and high performance: small and powerful compact size and high-performance computing power, based on deep learning neural network open source algorithm cool Tensorflow, the car simulates the human brain to automatically learn data and complete autonomous driving.
Flexible and multi-purpose: suitable for college artificial intelligence teaching, racing competitions, research and DIY projects and other scenarios.
Multiple operation methods: support mobile gravity sensing control, joystick control (PS4), computer web control.
